I started okay, talked about user research and engagement signals, but then I got stuck on how to actually prioritize which new reactions to add versus whether to add any at all.
Start by clarifying the goal of adding reactions—whether it's to increase engagement, improve expression, or drive business metrics—and then evaluate user needs and strategic fit. Propose a hypothesis, define success metrics, and outline a test plan (e.g., A/B test) to validate impact before scaling.
Pro tip: Emphasize that reactions should reduce friction in communication and align with existing user behaviors; avoid adding complexity that could dilute the core experience. Mention the importance of measuring both quantitative metrics (e.g., engagement) and qualitative feedback (e.g., user sentiment) to ensure holistic evaluation.
Understand why we're considering additional reactions: Is it to boost engagement, enhance self-expression, or support a specific business goal? Align with Meta's mission and product strategy.
Research whether users are requesting more reactions or if current options are insufficient. Analyze data on reaction usage and identify gaps in expression.
Consider how new reactions fit with Instagram's ecosystem, potential impact on other features, and technical/design feasibility. Ensure they don't cannibalize existing interactions.
Establish clear metrics (e.g., increase in reactions per post, time spent, user retention) and form a hypothesis about expected outcomes. Include guardrail metrics to monitor negative effects.
Propose an A/B test or phased rollout to measure impact. Start with a small user segment, gather data, and iterate based on results before full launch.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.